Triple
T18204263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoBERTa |
E435864
|
entity |
| Predicate | paperAuthorsInclude |
P63068
|
FINISHED |
| Object |
Naman Goyal
Naman Goyal is a computer scientist and AI researcher known for his contributions to large-scale natural language processing models and representation learning at Meta AI.
|
E1312412
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Naman Goyal | Statement: [RoBERTa, paperAuthorsInclude, Naman Goyal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naman Goyal Context triple: [RoBERTa, paperAuthorsInclude, Naman Goyal]
-
A.
Anu Malik
Anu Malik is an Indian music director and composer known for his prolific work in Bollywood films and several popular film soundtracks.
-
B.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
C.
Axar Patel
Axar Patel is an Indian international cricketer, primarily a left-arm orthodox spinner and handy lower-order batsman, known for his performances in Test, ODI, and T20 formats.
-
D.
Shubham Saraf
Shubham Saraf is a British actor known for his role in the TV crime drama "Criminal: UK" and performances across film, television, and theatre.
-
E.
Somesh Jha
Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Naman Goyal Triple: [RoBERTa, paperAuthorsInclude, Naman Goyal]
Generated description
Naman Goyal is a computer scientist and AI researcher known for his contributions to large-scale natural language processing models and representation learning at Meta AI.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naman Goyal Target entity description: Naman Goyal is a computer scientist and AI researcher known for his contributions to large-scale natural language processing models and representation learning at Meta AI.
-
A.
Anu Malik
Anu Malik is an Indian music director and composer known for his prolific work in Bollywood films and several popular film soundtracks.
-
B.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
C.
Axar Patel
Axar Patel is an Indian international cricketer, primarily a left-arm orthodox spinner and handy lower-order batsman, known for his performances in Test, ODI, and T20 formats.
-
D.
Shubham Saraf
Shubham Saraf is a British actor known for his role in the TV crime drama "Criminal: UK" and performances across film, television, and theatre.
-
E.
Somesh Jha
Somesh Jha is a computer scientist known for his research in formal methods, security, and software verification.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a039f0e52108190913cc5c667619d89 |
completed | May 12, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_6a039fdd9c4c819083b450657d0ece43 |
completed | May 12, 2026, 9:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03a0d6de8c8190b1f94c7de0856143 |
completed | May 12, 2026, 9:51 p.m. |
Created at: April 10, 2026, 10:32 a.m.